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Modeling agricultural drought based on the earth observation-derived standardized precipitation evapotranspiration index and vegetation health index in the northeastern highlands of Ethiopia. (2024). Chere, Zerihun ; Debalke, Dereje Biru.
In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
RePEc:spr:nathaz:v:120:y:2024:i:3:d:10.1007_s11069-023-06320-3.

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  1. Aksoy S, Gorucu O, Sertel E (2019) Drought monitoring using MODIS derived indices and google earth engine platform. In: 2019 8th international conference on agro-geoinformatics (Agro-Geoinformatics), pp. 1–6. IEEE. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820209 .
    Paper not yet in RePEc: Add citation now
  2. Akwango D, Obaa BB, Turyahabwe N, Baguma Y, Egeru A (2017) Effect of drought early warning system on household food security in Karamoja subregion. Uganda Agric Food Secur 6(1):1–12. https://doi.org/10.1186/s40066-017-0120-x .
    Paper not yet in RePEc: Add citation now
  3. Almeida-Ñauñay AF, Villeta M, Quemada M, Tarquis AM (2022) Assessment of drought indices on different time scales: a case in Semiarid Mediterranean Grasslands. Remote Sens 14(3):565. https://doi.org/10.3390/rs14030565 .
    Paper not yet in RePEc: Add citation now
  4. Almendra-Martín L, Martínez-Fernández J, González-Zamora Á, Benito-Verdugo P, Herrero-Jiménez CM (2021) Agricultural drought trends on the Iberian Peninsula: an analysis using modeled and reanalysis soil moisture products. Atmosphere 12(2):236. https://doi.org/10.3390/atmos12020236 .
    Paper not yet in RePEc: Add citation now
  5. Anyamba A, Tucker CJ (2012) Historical perspectives on AVHRR NDVI and vegetation drought monitoring. Remote Sens Drought Innov Monitor Approaches. https://doi.org/10.1201/b11863 .
    Paper not yet in RePEc: Add citation now
  6. Belay MZ, Yirdaw LT (2022) Management of postoperative pain among health professionals working in governmental hospitals in South Wollo Zone, Northeast Ethiopia. Prospective cross sectional study. Ann Med Surg 80:104148. https://doi.org/10.1016/j.amsu.2022.104148 .
    Paper not yet in RePEc: Add citation now
  7. Bhuiyan C, Singh RP, Kogan FN (2006) Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. Int J Appl Earth Observ Geoinf 8:289–302. https://doi.org/10.1016/j.jag.2006.03.002 .
    Paper not yet in RePEc: Add citation now
  8. Bhuyan M, Singh B, Vid S, Jeganathan C (2023) Analyzing the spatiotemporal patterns of vegetation dynamics and their responses to climatic parameters in Meghalaya from 2001 to 2020. Environ Monit Assess 195(1):1–29. https://doi.org/10.1007/s10661-022-10685-6 .
    Paper not yet in RePEc: Add citation now
  9. Brown JF, Wardlow BD, Tadesse T, Hayes MJ, Reed BC (2008) The vegetation drought response index (VegDRI): a new integrated approach for monitoring drought stress in vegetation. Gisci Remote Sens 45(1):16–46. https://doi.org/10.2747/1548-1603.45.1.16 .
    Paper not yet in RePEc: Add citation now
  10. Cai S, Zuo D, Xu Z, Han X, Gao X (2018) Spatiotemporal variability and assessment of drought in the Wei River basin of China. Proc Int Assoc Hydrol Sci 2016:73–82. https://doi.org/10.5194/piahs-379-73-2018 .
    Paper not yet in RePEc: Add citation now
  11. Chere Z, Abegaz A, Tamene L, Abera W (2022) Modeling and mapping the spatiotemporal variation in agricultural drought based on a satellite-derived vegetation health index across the highlands of Ethiopia. Model Earth Syst Environ 8(4):4539–4552. https://doi.org/10.1007/s40808-022-01439-x .
    Paper not yet in RePEc: Add citation now
  12. Choi M, Jacobs JM, Anderson MC, Bosch DD (2013) Evaluation of drought indices via remotely sensed data with hydrological variables. J Hydrol 476:265–273. https://doi.org/10.1016/j.jhydrol.2012.10.042 .
    Paper not yet in RePEc: Add citation now
  13. Degefu MA, Bewket W (2015) Trends and spatial patterns of drought incidence in the omo-gibe river basin. Ethiopia. https://doi.org/10.1111/geoa.12080 .
    Paper not yet in RePEc: Add citation now
  14. Derdous O, Bouamrane A, Mrad D (2021) Spatiotemporal analysis of meteorological drought in a Mediterranean dry land: case of the Cheliff basin–Algeria. Model Earth Syst Environ 7(1):135–143. https://doi.org/10.1007/s40808-020-00951-2 .
    Paper not yet in RePEc: Add citation now
  15. Dessale M, Habteselase Y, Abi D (2022) Households’ willingness to pay for soil and water conservation practices on communal lands in South Wollo Zone. Ethiopia Sustain Water Resour Manage 8(4):111. https://doi.org/10.1007/s40899-022-00705-1 .
    Paper not yet in RePEc: Add citation now
  16. Dilip T, Kumari M, Murthy CS, Neelima TL, Chakraborty A, Devi MU (2023) Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index. Environ Monit Assess 195(8):1–19. https://doi.org/10.1007/s10661-023-11524-y .
    Paper not yet in RePEc: Add citation now
  17. Dinku T, Ayehu GT, Tadesse T, Gessesse B (2018) Validation of new satellite rainfall products over the upper blue Nile Basin. Ethiopia Atmos Measure Techniq 11(4):1921–1936. https://doi.org/10.5194/amt-11-1921-2018 .
    Paper not yet in RePEc: Add citation now
  18. Ejaz N, Bahrawi J, Alghamdi KM, Rahman KU, Shang S (2023) Drought monitoring using landsat derived indices and google earth engine platform: a case study from Al-Lith watershed. Kingdom of Saudi Arabia Remote Sens 15(4):984. https://doi.org/10.3390/rs15040984 .
    Paper not yet in RePEc: Add citation now
  19. Emergency Events Database (EM-DAT) (2022). The Emergency events database. Universite catholique de Louvain (UCL)—CRED, D. Guha-Sapir—www. emdat. be, Brussels, Belgium.
    Paper not yet in RePEc: Add citation now
  20. Evans JD (1996) Straight forward statistics for the behavioral sciences. Brooks/Cole, Pacific Grove.
    Paper not yet in RePEc: Add citation now

  21. Feng P, Wang B, Li Liu D, Yu Q (2019) Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia. Agric Syst 173:303–316. https://doi.org/10.1016/j.agsy.2019.03.015 .

  22. Fung KF, Huang YF, Koo CH, Mirzaei M (2020) Improved SVR machine learning models for agricultural drought prediction at downstream of Langat River Basin, Malaysia. J Water Clim Change 11(4):1383–1398. https://doi.org/10.2166/wcc.2019.295 .
    Paper not yet in RePEc: Add citation now
  23. Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A, Michaelsen J (2015) The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Sci Data 2(1):1–21. https://doi.org/10.1038/sdata.2015.66 .
    Paper not yet in RePEc: Add citation now
  24. Gebrehiwot T, Van der Veen A, Maathuis B (2011) Spatial and temporal assessment of drought in the Northern highlands of Ethiopia. Int J Appl Earth Observ Geoinf 13(3):309–321. https://doi.org/10.1016/j.jag.2010.12.002 .
    Paper not yet in RePEc: Add citation now
  25. Gebrehiwot T, Van der Veen A, Maathuis B (2016) Governing agricultural drought: monitoring using the vegetation condition index. Ethiopian J Environ Stud Manag 9(3):354–371. https://doi.org/10.4314/ejesm.v9i3.9 .
    Paper not yet in RePEc: Add citation now
  26. Gidey E, Dikinya O, Sebego R, Segosebe E, Zenebe A (2018) Analysis of the long-term agricultural drought onset, cessation, duration, frequency, severity, and spatial extent using vegetation health Index (VHI) in Raya and its environs Northern Ethiopia. Environ Syst Res 7(13):8. https://doi.org/10.1186/s40068-018-0115-z .
    Paper not yet in RePEc: Add citation now
  27. Haile BT, Bekitie KT, Zeleke TT, Ayal DY, Feyisa GL, Anose FA (2022) Drought analysis using standardized evapotranspiration and aridity index at bilate watershed: subbasins of Ethiopian Rift Valley. Sci World J 20:22. https://doi.org/10.1155/2022/1181198 .
    Paper not yet in RePEc: Add citation now
  28. Hazaymeh K, Hassan QK (2016) Remote sensing of agricultural drought monitoring: a state of art review. AIMS Environ Sci 3(4):604–630. https://doi.org/10.3934/environsci.2016.4.604 .
    Paper not yet in RePEc: Add citation now
  29. Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG, Panov N, Goldberg A (2010) Use of NDVI and land surface temperature for drought assessment: merits and limitations. J Clim 23(3):618–633. https://doi.org/10.1175/2009JCLI2900.1 .
    Paper not yet in RePEc: Add citation now
  30. Kelley CP, Mohtadi S, Cane MA, Seager R, Kushnir Y (2015) Climate change in the fertile crescent and implications of the recent Syrian drought. Proc Natl Acad Sci 112(11):3241–3246. https://doi.org/10.1073/pnas.1421533112 .
    Paper not yet in RePEc: Add citation now
  31. Khan R, Gilani H (2021) Global drought monitoring with drought severity index (DSI) using Google Earth Engine. Theoret Appl Climatol 146(1):411–427. https://doi.org/10.1007/s00704-021-03715-9 .
    Paper not yet in RePEc: Add citation now
  32. Kogan F, Adamenko T, Guo W (2013) Global and regional drought dynamics in the climate warming era. Remote Sens Lett 4(4):364–372. https://doi.org/10.1080/2150704X.2012.736033 .
    Paper not yet in RePEc: Add citation now
  33. Kogan FN (1995) Application of vegetation index and brightness temperature for drought detection. Adv Space Res 15(11):91–100. https://doi.org/10.1016/0273-1177(95)00079-T .
    Paper not yet in RePEc: Add citation now
  34. Kogan FN (2019) Remote sensing for food security. Springer, Berlin.
    Paper not yet in RePEc: Add citation now
  35. Kogan FN, Guo W (2016) Early twenty-first-century droughts during the warmest climate. Geomat Nat Haz Risk 7(1):127–137. https://doi.org/10.1080/19475705.2013.878399 .
    Paper not yet in RePEc: Add citation now
  36. Leng G, Tang Q, Rayburg S (2015) Climate change impacts on meteorological, agricultural and hydrological droughts in China. Global Planet Change 126:23–34. https://doi.org/10.1016/j.gloplacha.2015.01.003 .
    Paper not yet in RePEc: Add citation now
  37. Liou YA, Mulualem GM (2019) Spatiotemporal assessment of drought in Ethiopia and the impact of recent intense droughts. Remote Sens 11(15):1828. https://doi.org/10.3390/rs11151828 .
    Paper not yet in RePEc: Add citation now
  38. Low AJ, Frederix K, McCracken S, Manyau S, Gummerson E, Radin E, Schwitters A (2019) Association between severe drought and HIV prevention and care behaviors in Lesotho: a population-based survey 2016–2017. PLoS Med 16(1):e1002727. https://doi.org/10.1371/journal.pmed.1002727 .
    Paper not yet in RePEc: Add citation now
  39. Lu J, Carbone GJ, Gao P (2017) Agricultural and forest meteorology detrending crop yield data for spatial visualization of drought impacts in the United States, 1895–2014. Agric for Meteorol 237–238:196–208. https://doi.org/10.1016/j.agrformet.2017.02.001 .
    Paper not yet in RePEc: Add citation now
  40. Manesh MB, Khosravi H, Alamdarloo EH, Alekasir MS, Gholami A, Singh VP (2019) Linkage of agricultural drought with meteorological drought in different climates of Iran. Theoret Appl Climatol 138:1025–1033. https://doi.org/10.1007/s00704-019-02878-w .
    Paper not yet in RePEc: Add citation now
  41. Mann HB (1945) Nonparametric tests against trend. Econometrica. https://doi.org/10.2307/1907187 .
    Paper not yet in RePEc: Add citation now
  42. Maru H, Haileslassie A, Zeleke T, Esayas B (2021) Agroecology-based analysis of meteorological drought and mapping its hotspot areas in Awash Basin Ethiopia. Earth Syst Environ. https://doi.org/10.1007/s40808-021-01101-y .
    Paper not yet in RePEc: Add citation now
  43. Masih I, Maskey S, Mussá FEF, Trambauer P (2014) A review of droughts on the African continent: a geospatial and long-term perspective. Hydrol Earth Syst Sci 18(9):3635–3649. https://doi.org/10.5194/hess-18-3635-2014 .
    Paper not yet in RePEc: Add citation now
  44. Mekonen AA, Berlie AB, Ferede MB (2020) Spatial and temporal drought incidence analysis in the northeastern highlands of Ethiopia. Geoenviron Disasters. https://doi.org/10.1186/s40677-020-0146-4 .
    Paper not yet in RePEc: Add citation now
  45. Mera GA (2018) Drought and its impacts in Ethiopia. Weather Clim Extremes 22(June):24–35. https://doi.org/10.1016/j.wace.2018.10.002 .
    Paper not yet in RePEc: Add citation now
  46. Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1–2):202–216. https://doi.org/10.1016/j.jhydrol.2010.07.012 .
    Paper not yet in RePEc: Add citation now
  47. Mohammed Y, Yimer F, Tadesse M, Tesfaye K (2018) Meteorological drought assessment in northeast highlands of Ethiopia. Int J Clim Chang Strateg Manag 10(1):142–160. https://doi.org/10.1108/IJCCSM-12-2016-0179 .
    Paper not yet in RePEc: Add citation now
  48. Moutia S, Sinan M, Lekhlif B (2021) Assessment of agricultural drought in Morocco based on a composite of the vegetation health index (VHI) and standardized precipitation evapotranspiration index (SPEI). In: E3S Web of Conferences (Vol. 314, p. 04003). EDP Sciences. https://doi.org/10.1051/e3sconf/202131404003 .
    Paper not yet in RePEc: Add citation now
  49. Mutsotso RB, Sichangi AW, Makokha GO (2018) Spatiotemporal drought characterization in Kenya from 1987 to 2016. Adv Remote Sens 7:125–143. https://doi.org/10.4236/ars.2018.72009 .
    Paper not yet in RePEc: Add citation now
  50. Naumann G, Dutra E, Barbosa P, Pappenberger F, Wetterhall F, Vogt JV (2014) Comparison of drought indicators derived from multiple datasets over Africa. Hydrol Earth Syst Sci 18(5):1625–1640. https://doi.org/10.5194/hess-18-1625-2014 .
    Paper not yet in RePEc: Add citation now
  51. Neeti N, Eastman JR (2011) A contextual mann‐kendall approach for the assessment of trend significance in image time series. Trans GIS 15(5):599–611. https://doi.org/10.1111/j.1467-9671.2011.01280.x .
    Paper not yet in RePEc: Add citation now
  52. Qu C, Hao X, Qu JJ (2019) Monitoring extreme agricultural drought over the horn of Africa (HOA) using remote sensing measurements. Remote Sens 11(8):902. https://doi.org/10.3390/rs11080902 .
    Paper not yet in RePEc: Add citation now
  53. Rhee J, Im J, Carbone GJ (2010) Monitoring agricultural drought for arid and humid regions using multisensor remote sensing data. Remote Sens Environ 114(12):2875–2887. https://doi.org/10.1016/j.rse.2010.07.005 .
    Paper not yet in RePEc: Add citation now
  54. Running SW, Mu Q, Zhao M, Moreno A (2019) MODIS global terrestrial evapotranspiration (ET) product (MOD16A2/A3 and year-end gap-filled MOD16A2GF/A3GF) NASA Earth Observing System MODIS Land Algorithm (for collection 6). National Aeronautics and Space Administration, Washington, DC, USA. 10.5067/MODIS/MOD16A2, 6.
    Paper not yet in RePEc: Add citation now
  55. Sadeghi M, Babaeian E, Tuller M, Jones SB (2017) The optical trapezoid model: a novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations. Remote Sens Environ 198:52–68. https://doi.org/10.1016/j.rse.2017.05.041 .
    Paper not yet in RePEc: Add citation now
  56. Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63(324):1379–1389.
    Paper not yet in RePEc: Add citation now
  57. Senamaw A, Addisu S, Suryabhagavan KV (2021) Mapping the spatial and temporal variation of agricultural and meteorological drought using geospatial techniques, Ethiopia. Environ Syst Res 10:1–17. https://doi.org/10.1186/s40068-020-00204-2 .
    Paper not yet in RePEc: Add citation now

  58. Shalishe A, Bhowmick A, Elias K (2023) Agricultural drought analysis and its association among land surface temperature, soil moisture and precipitation in Gamo Zone, Southern Ethiopia: a remote sensing approach. Nat Hazards. https://doi.org/10.1007/s11069-023-05849-7 .

  59. Shamloo N, Sattari MT, Apaydin H (2022) Agricultural drought survey using MODIS-based image indices at the regional scale: case study of the Urmia Lake Basin. Iran Theor Appl Climatol 149(1–2):39–51. https://doi.org/10.1007/s00704-022-04023-6 .
    Paper not yet in RePEc: Add citation now
  60. Shiferawa B, Tesfaye K, Kassie M, Abate T, Prasanna BM, PMenkir A (2014) Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: technological and policy options. Weather Clim Extremes 3:67–79. https://doi.org/10.1016/j.wace.2014.04.004 .
    Paper not yet in RePEc: Add citation now

  61. Sohnesen TP (2020) Two sides to the same drought: measurement and impact of Ethiopia’s 2015 historical drought. Econ Disasters Clim Change 4(1):83–101. https://doi.org/10.1007/s41885-019-00048-w .

  62. South Wollo Agricultural Department (2018) South Wollo Zone Agricultural Department 2016/17 budget year annual report. SWAD, Dessie.
    Paper not yet in RePEc: Add citation now
  63. Tian L, Yuan S, Quiring SM (2018) Evaluation of six indices for monitoring agricultural drought in the south-central United States. Agric Meteorol 249:107–119. https://doi.org/10.1016/j.agrformet.2017.11.024 .
    Paper not yet in RePEc: Add citation now
  64. Udmale P, Ichikawa Y, Manandhar S, Ishidaira H, Kiem AS (2014) Farmers ׳ perception of drought impacts, local adaptation, and administrative mitigation measures in Maharashtra State, India. Int J Disaster Risk Reduct 10:250–269. https://doi.org/10.1016/j.ijdrr.2014.09.011 .
    Paper not yet in RePEc: Add citation now
  65. Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718. https://doi.org/10.1175/2009JCLI2909.1 .
    Paper not yet in RePEc: Add citation now
  66. Viste E, Korecha D, Sorteberg A (2013) Recent drought and precipitation tendencies in Ethiopia. Theor Appl Climatol 112:535–551. https://doi.org/10.1007/s00704-012-0746-3 .
    Paper not yet in RePEc: Add citation now
  67. Wassie SB, Mengistu DA, Birlie AB (2022) Agricultural drought assessment and monitoring using MODIS-based multiple indices: the case of North Wollo. Ethiopia Environ Monitor Assess 194(11):787. https://doi.org/10.1007/s10661-022-10455-4 .
    Paper not yet in RePEc: Add citation now
  68. West H, Quinn N, Horswell M (2019) Remote sensing for drought monitoring & impact assessment: progress, past challenges and future opportunities. Remote Sens Environ 232:111291. https://doi.org/10.1016/j.rse.2019.111291 .
    Paper not yet in RePEc: Add citation now
  69. Wilhite DA, Glantz MH (1985) Understanding: the drought phenomenon: the role of definitions. Water Int 10(3):111–120. https://doi.org/10.1080/02508068508686328 .
    Paper not yet in RePEc: Add citation now
  70. Zeng J, Zhang R, Qu Y, Bento VA, Zhou T, Lin Y, Wu X, Qi J, Shui W, Wang Q (2022) Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018. Weather Clim Extremes 35:100412. https://doi.org/10.1016/j.wace.2022.100412 .
    Paper not yet in RePEc: Add citation now
  71. Zhao Y, Zhang J, Bai Y, Zhang S, Yang S, Henchiri M, Seka AM, Nanzad L (2022) Drought monitoring and performance evaluation based on machine learning fusion of multi-source remote sensing drought factors. Remote Sens 14:6398. https://doi.org/10.3390/rs14246398 .
    Paper not yet in RePEc: Add citation now

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  10. Techniques used to predict climate risks: a brief literature survey. (2023). Cirstea, Silvia ; Nanwani, Ruchika ; Hasan, Md Mahmudul.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:118:y:2023:i:2:d:10.1007_s11069-023-06046-2.

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  11. China can be self-sufficient in maize production by 2030 with optimal crop management. (2023). Feng, Puyu ; Wang, PU ; Luo, Ning ; Li, DE ; Muller, Christoph ; Qu, Ziren ; Yu, Yonghong ; Meng, Qingfeng.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38355-2.

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  12. Agricultural Drought Risk Assessment Based on a Comprehensive Model Using Geospatial Techniques in Songnen Plain, China. (2023). Chen, Yuxin ; Zhang, Ying ; Zhao, Yafang ; Yu, Rui ; Gao, Fengjie.
    In: Land.
    RePEc:gam:jlands:v:12:y:2023:i:6:p:1184-:d:1163994.

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  13. Impact of Agricultural Drought on Barley and Wheat Yield: A Comparative Case Study of Spain and Germany. (2023). Benito-Verdugo, Pilar ; Almendra-Martin, Laura ; Martinez-Fernandez, Jose ; Gaona, Jaime ; Herrero-Jimenez, Carlos Miguel ; Gonzalez-Zamora, Angel.
    In: Agriculture.
    RePEc:gam:jagris:v:13:y:2023:i:11:p:2111-:d:1275773.

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  14. Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China. (2023). Xu, Zhenheng ; Zhang, Tian ; Gao, Jinhua ; Sun, Hao ; Wu, Dan.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:286:y:2023:i:c:s0378377423002706.

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  15. Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms. (2022). Ololade, Olusola O ; Belle, Johanes A ; Orimoloye, Israel R ; Pande, Chaitanya B ; Olusola, Adeyemi O.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:112:y:2022:i:2:d:10.1007_s11069-022-05219-9.

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  16. Long-term variability in atmospheric moisture transport and relationship with heavy precipitation in the eastern USA. (2022). Teale, Natalie ; Robinson, David A.
    In: Climatic Change.
    RePEc:spr:climat:v:175:y:2022:i:1:d:10.1007_s10584-022-03455-3.

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  17. A damage-based crop insurance system for flash flooding: a satellite remote sensing and econometric approach. (2022). Ahamed, Tofael ; Matsushita, Shusuke ; Noguchi, Ryozo ; Islam, Md Monirul.
    In: Asia-Pacific Journal of Regional Science.
    RePEc:spr:apjors:v:6:y:2022:i:1:d:10.1007_s41685-021-00220-9.

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  18. Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe. (2022). Ratonyi, Tamas ; Mohammed, Safwan ; Ul, Muhammad Farhan ; Takacs, Istvan ; Alsilibe, Firas ; Harsanyi, Endre ; Bashir, Bashar ; Nyeki, Aniko ; Szeles, Adrienn ; Alsalman, Abdullah.
    In: IJERPH.
    RePEc:gam:jijerp:v:19:y:2022:i:17:p:10653-:d:899038.

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  19. Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling. (2021). Mehdizadeh, Saeid ; Ahmadi, Farshad ; Mohammadi, Babak.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:12:d:10.1007_s11269-021-02934-z.

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  20. Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model. (2021). Kim, Tae-Woong ; Lee, Joo-Heon ; Yu, Jisoo ; Ryu, Jae-Hee.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:109:y:2021:i:1:d:10.1007_s11069-021-04854-y.

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  21. Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin, China. (2021). Xu, Yue-Ping ; Tian, YE ; Zhu, Qian ; Wang, Guoqing ; Zhou, Dongyang ; Luo, Yulin.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04394-x.

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  22. Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China. (2019). Hao, Xiuping ; Li, Qingyun ; Liu, Lei ; Ma, Jianqin.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:17:p:4680-:d:261648.

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